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We are a boutique consultancy of mathematicians and decision scientists dedicated to delivering solutions that autonomously transform data into scientifically optimal business decisions.
We take pride in our work. Our passion lies in the profound impact we have on our clients, enhancing business operations and boosting the bottom line by saving money, time, and reducing frustration.
Building robust autonomous systems runs deep with us. In 2023 we developed an AI system that autonomously improves our technology, culminating in a world record-breaking performance that made us the first team to solve 100% of a previously unsolved benchmark in nonlinear decision-making technology.
Through years of collaboration with clients, we came to realise that a business is like a living organism, with unique problems requiring custom solutions beyond conventional consultancy or off-the-shelf software. We work closely with businesses to deliver these bespoke solutions.
We offer world-class expertise in translating intricate operations and business challenges into mathematical frameworks. Our bread and butter is figuring out problems no-one else can.
Gabriel studied physics at Imperial College London where he also earned his PhD in molecular physics in 2015. Following his work in the fintech sector, he co-founded Octeract in 2017. Leveraging his physics background, Gabriel excels at translating complex business problems into mathematical models and systems integration. He is also a distinguished expert in algorithmic development, having invented and implemented many of the world-class algorithms that power Octeract technology.
Nikos studied mechanical and aeronautical engineering at the National Technical University of Athens and earned his PhD in global optimisation from Imperial College London in 2016. After developing industrial machine scheduling solutions, he co-founded Octeract in 2017. Nikos is an expert in designing complex technological architectures, massively parallel computations, optimising tooling stacks and algorithmic implementations, formulating mathematical problems, and designing autonomous systems.